Skip to main content

A convenient package for applying machine learning workflows with a Streamlit app, generating Excel outputs and visualizations.

Project description

spml2-mltools

Python package PyPI - Full Versions PyPI Status Python 3.10+

Overview

spml2-mltools is a convenient package for applying machine learning workflows with a Streamlit app, generating Excel outputs, and visualizations.


Installation

pip install spml2-mltools

Quick Start

1. Initialize Example Files

spml2 init
# Creates:
# - spml2_main.py
# - options_user.py
# - models_user.py

You can also use:

spml init

2. Run Classification

python spml2_main.py

3. Launch the Web UI

spml2 web

You can also use:

spml web

Features

  • Streamlit-based web runner
  • ROC curve visualization
  • Feature importances
  • SHAP graphs
  • Excel output generation

Documentation


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

spml2_mltools-1.0.33.tar.gz (18.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

spml2_mltools-1.0.33-py3-none-any.whl (24.9 kB view details)

Uploaded Python 3

File details

Details for the file spml2_mltools-1.0.33.tar.gz.

File metadata

  • Download URL: spml2_mltools-1.0.33.tar.gz
  • Upload date:
  • Size: 18.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for spml2_mltools-1.0.33.tar.gz
Algorithm Hash digest
SHA256 5cf7cb473139643b154348e28905a20ba628f026e0e756d394a3fc1bcacab461
MD5 dde045d7815120b21dc1c00f31ec5c55
BLAKE2b-256 d2665c031e5f842618676942060eb74b17e7d146e538ccc013d5f2ba31a6d8b2

See more details on using hashes here.

File details

Details for the file spml2_mltools-1.0.33-py3-none-any.whl.

File metadata

  • Download URL: spml2_mltools-1.0.33-py3-none-any.whl
  • Upload date:
  • Size: 24.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for spml2_mltools-1.0.33-py3-none-any.whl
Algorithm Hash digest
SHA256 b1663eb45518b01e212668e74a3bb54a04ece6e35fb30cbce8f54fd33593d651
MD5 95a36a58a1fc98a324efe6472bbf1a69
BLAKE2b-256 42c243b1312803b154af83cac54a3b97bdf821d68d15c9818a0fcab81a65ce80

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page